class_docstr: Dataset used to parallelize the transformation of the dataset via a DataLoader
class_docstr_tok: ["Dataset","used","to","parallelize","the","transformation","of","the","dataset","via","a","DataLoader"]
code: def _read_split_info(file_path: str) -> List[Tuple[str, str]]:
      samples = []
      with open(file_path) as f:
          for line in f:
              category, file_name = line.strip().split("/")
              file_name = file_name.split(" ")[0]
              samples.append((category, file_name))
      return samples
  
file_path: vissl/extra_scripts/datasets/create_ucf101_data_files.py
imports: import argparse
  import os
  import ssl
  from contextlib import contextmanager
  from typing import List, Optional, Tuple
  from PIL import Image
  from torch.utils.data import DataLoader
  from torchvision.datasets.utils import download_url, extract_archive
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling the _ExtractMiddleFrameDataset obj's underlying member method code with example usage: obj._read_split_info(file_path) and returns: samples